Senior AWS Data Engineer
Lancesoft — Canada · Posted ~1 day ago
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Log in to add to target listDescription
Pay Range: CAD 50-55/hr
Netezza Experience is Mandatory
Key Responsibilities
• Design, develop, maintain and support scalable data pipelines using ETL tools and AWS technologies
• Lead and support data platform migration initiatives (On-Prem to AWS Cloud)
• Develop and manage ETL/ELT processes using tools like SSIS or similar
• Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow
• Build and optimize data workflows and orchestration pipelines using Airflow
• Experience with CICD pipeline using Python, Git.
• Perform data ingestion, transformation, and validation from multiple data sources
• Optimize SQL queries for performance and scalability
• Monitor system performance, troubleshoot issues, and ensure system reliability
• Collaborate with cross-functional teams including developers, architects, and infrastructure teams
Required Technical Skills
Cloud Technologies
• Strong experience in AWS Cloud services:
o EMR, EC2, S3, VPC, RDS, Redshift
o AWS Glue, IAM, CloudWatch, CloudFormation
o Airflow (or AWS Managed Workflows)
Databases
• Experience working with:
o Working on Netezza
o SQL-based systems: SQL Server and PostgreSQL
o Data warehouses: Netezza , Redshift
ETL Tools
• Hands-on experience with:
o In any ETL tools (like SSIS, Datastage, informatica etc)
Programming & Scripting
• Strong proficiency in:
o SQL
o Shell scripting
• Good to have:
o Python
Operating Systems
• Strong experience in Unix/Linux environments
Key Qualifications
• 10+ years of experience in Data Engineering / AWS / Platform Engineering
• Hands-on experience in ETL tools and AWS
• Experience in data migration projects
• Strong understanding of data warehousing concepts and ETL design patterns
• Expertise in query optimization and performance tuning
• Experience supporting production data platforms
• Bachelor’s degree in Computer Science, Engineering, or related field
Preferred Qualifications
• Experience in Banking / Financial Services domain
• Experience with data lake architecture and governance
• Knowledge of DevOps tools and CI/CD pipelines
• Experience in platform engineering and framework development
Soft Skills
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
• Ability to work independently and lead initiatives
• Experience mentoring team members
Nice to Have
• Experience with tools like Ansible, Git, JIRA
• Exposure to NoSQL databases (HBase, MongoDB)
• Experience in data masking and security frameworks
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